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Author Details

Venet Osmani
Fondazione Bruno Kessler Research Institute, University of Sheffield
2012
32
10
PMIDPaper TitleJournal TitlePublished Year
35077357Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation.IEEE Trans Pattern Anal Mach Intell2023
37783541An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care.Artif Intell Med2023
37467893Machine learning models predict liver steatosis but not liver fibrosis in a prospective cohort study.Clin Res Hepatol Gastroenterol2023
37003970The impact of ethnic background on ICU care and outcome in sepsis and septic shock - A retrospective multicenter analysis on 17,949 patients.BMC Infect Dis2023
36576554Hyperlactatemia and altered lactate kinetics are associated with excess mortality in sepsis : A multicenter retrospective observational study.Wien Klin Wochenschr2023
34224051Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study.J Clin Monit Comput2022
35702626Delirium prediction in the ICU: designing a screening tool for preventive interventions.JAMIA Open2022
36812571COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients.PLOS Digit Health2022
36401328Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging.BMC Med Inform Decis Mak2022
35099394Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation.JMIR Med Inform2022
35279068Management of intoxicated patients - a descriptive outcome analysis of 4,267 ICU patients.BMC Emerg Med2022
35093953Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis.Med Princ Pract2022
34529131Underweight but not overweight is associated with excess mortality in septic ICU patients.Wien Klin Wochenschr2022
33126059Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation.Int J Med Inform2021
33909586Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation.JMIR Form Res2021
33653910Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients.Respir Care2021
33825526The evolution of personalized healthcare and the pivotal role of European regions in its implementation.Per Med2021
34683122Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma.J Pers Med2021
33962603Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation.BMC Med Inform Decis Mak2021
34307423ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock.Front Med (Lausanne)2021
33059966Sex-specific outcomes and management in critically ill septic patients.Eur J Intern Med2021
32570349Blood Lactate Concentration Prediction in Critical Care.Stud Health Technol Inform2020
31997006Monitoring and detecting faults in wastewater treatment plants using deep learning.Environ Monit Assess2020
33352862Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients.Diagnostics (Basel)2020
32614874Benchmarking machine learning models on multi-centre eICU critical care dataset.PLoS One2020
31066697Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review.JMIR Med Inform2019
26087509Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step.IEEE J Biomed Health Inform2016
27592309Stress modelling and prediction in presence of scarce data.J Biomed Inform2016
25073181Smartphone-based recognition of states and state changes in bipolar disorder patients.IEEE J Biomed Health Inform2015
26736583Investigating correlation between verbal interactions and perceived stress.Annu Int Conf IEEE Eng Med Biol Soc2015
21533305Monitoring dressing activity failures through RFID and video.Methods Inf Med2012
23366338Speech activity detection using accelerometer.Annu Int Conf IEEE Eng Med Biol Soc2012
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Collaborators

Bertrand Guidet
Assistance Publique Hopitaux de Paris
Co-authored papers 4
Leo Anthony Celi
Harvard T.H. Chan School of Public Health, MIT
Co-authored papers 3
Marco Gonz??lez
Clinica Medellin y Universidad Pontificia Bolivariana
Co-authored papers 2
Fernando Frutos-Vivar
Hospital Universitario de Getafe
Co-authored papers 2
Andr??s Esteban
Hospital Universitario de Getafe
Co-authored papers 2
Bin Du
Fujian Medical University Union Hospital
Co-authored papers 2
Antonio Artigas
Institute of Health Carlos III
Co-authored papers 2
Dimitrios Matamis
Papageorgiou Hospital
Co-authored papers 2
Fekri Abroug
CHU F.Bourguiba and University of Monastir
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Pravin Amin
Bombay Hospital Institute of Medical Sciences
Co-authored papers 2
Amine Ali Zeggwagh
Bombay Hospital Institute of Medical Sciences
Co-authored papers 2
Antonio Anzueto
University of Texas Health
Co-authored papers 2
Salvatore Maurizio Maggiore
SS. Annunziata Hospital
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Konstantinos Raymondos
Hannover Medical School
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Fernando R??os
Hospital Nacional Alejandro Posadas
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Wesley Yeung
Massachusetts Institute of Technology
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Seyedmostafa Sheikhalishahi
Fondazione Bruno Kessler Research Institute, Italy University of Trento
Co-authored papers 1
Michael Joannidis
Medical University Innsbruck
Co-authored papers 1
James M Rehg
Georgia Institute of Technology
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Riccardo Miotto
Icahn School of Medicine at Mount Sinai
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Matthew D F McInnes
Ottawa Hospital Research Institute Clinical Epidemiology Program
Co-authored papers 1
Marco Chierici
Fondazione Bruno Kessler
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Louis Agha-Mir-Salim
Massachusetts Institute of Technology
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Anirban Bhattacharyya
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Giuseppe Jurman
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Heather Torbic
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